Chongyi Li
Chongyi Li
MMLab@NTU, S-Lab, Nanyang Technological University (NTU)
Verified email at - Homepage
Cited by
Cited by
Underwater Image Enhancement by Dehazing with Minimum Information Loss and Histogram Distribution Prior
C Li, J Guo, R Cong, Y Pang, B Wang
IEEE Transactions on Image Processing 25 (12), 5664-5677, 2016
An Underwater Image Enhancement Benchmark Dataset and Beyond
C Li, C Guo, W Ren, R Cong, J Hou, S Kwong, D Tao
IEEE Transactions on Image Processing 29, 4376-4389, 2019
Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement
C Li, S Anwar, F Porikli
Pattern Recognition 98, 107038, 2020
Emerging from Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
C Li, J Guo, C Guo
IEEE Signal Processing Letters 25 (3), 323-327, 2018
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
C Guo, C Li, J Guo, CC Loy, J Hou, S Kwong, R Cong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1780-1789, 2020
LightenNet: A Convolutional Neural Network for Weakly Illuminated Image Enhancement
C Li, J Guo, F Porikli, Y Pang
Pattern Recognition Letters 104, 15-22, 2018
Single Underwater Image Restoration by Blue-Green Channels Dehazing and Red Channel Correction
C Li, J Quo, Y Pang, S Chen, J Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
C Guo, C Li, J Guo, R Cong, H Fu, P Han
IEEE Transactions on Image Processing 28 (5), 2545-2557, 2018
Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
C Li, R Cong, J Hou, S Zhang, Y Qian, S Kwong
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9156 - 9166, 2019
A Hybrid Method for Underwater Image Correction
C Li, J Guo, C Guo, R Cong, J Gong
Pattern Recognition Letters 94, 62-67, 2017
A Cascaded Convolutional Neural Network for Single Image Dehazing
C Li, J Guo, F Porikli, H Fu, Y Pang
IEEE Access 6, 24877-24887, 2018
Underwater Image Enhancement by Dehazing and Color Correction
C Li, J Guo
Journal of Electronic Imaging 24 (3), 033023, 2015
ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection
C Li, R Cong, S Kwong, J Hou, H Fu, G Zhu, D Zhang, Q Huang
IEEE Transactions on Cybernetics 51 (1), 88-100, 2020
Underwater Image Restoration Based on Minimum Information Loss Principle and Optical Properties of Underwater Imaging
C Li, J Guo, S Chen, Y Tang, Y Pang, J Wang
IEEE International Conference on Image Processing (ICIP), 1993-1997, 2016
PDR-Net: Perception-Inspired Single Image Dehazing Network with Refinement
C Li, C Guo, J Guo, P Han, H Fu, R Cong
IEEE Transactions on Multimedia 22 (3), 704-716, 2019
Diving Deeper into Underwater Image Enhancement: A Survey
S Anwar, C Li
Signal Processing: Image Communication 89, 115978, 2020
An In-Depth Survey of Underwater Image Enhancement and Restoration
M Yang, J Hu, C Li, G Rohde, Y Du, K Hu
IEEE Access 7, 123638-123657, 2019
Single Underwater Image Enhancement Based on Color Cast Removal and Visibility Restoration
C Li, J Guo, B Wang, R Cong, Y Zhang, J Wang
Journal of Electronic Imaging 25 (3), 033012, 2016
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
C Li, R Cong, Y Piao, Q Xu, CC Loy
European Conference on Computer Vision (ECCV), 225-241, 2020
NTIRE 2021 Nonhomogeneous Dehazing Challenge Report
CO Ancuti, C Ancuti, FA Vasluianu, R Timofte
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2021
The system can't perform the operation now. Try again later.
Articles 1–20